Abrar Admin

Friday Media Group Pakistan

<div>
 
 
 Type: Full-timeCompany: Friday Media Group (FMG)About the Role:
 
 
 
 We are building a next-generation
 
 AI Agent Platform
 
 across our group, alongside deploying specialised AI agents within our products and business wide operations. We are looking for a
 
 hands-on AI Engineer
 
 with strong experience in:
 
 <ul>
 <li>
 building and deploying AI agents
 </li>
 <li>
 designing
 
 production-grade RAG (Retrieval-Augmented Generation) systems
 
 </li>
 <li>
 working with frameworks such as
 
 LangChain and CrewAI
 
 </li>
 </ul>
 
 This is not a research role.
 
 
 We are looking for someone who has
 
 built and shipped real AI systems into production environments
 
 .
 
 
 
 
 
 
 What You Will Be Working On:
 
 
 <ul>
 <li>
 Designing and building
 
 multi-agent systems
 
 for real-world business workflows
 </li>
 <li>
 Developing agents across:
 </li>
 <li>
 Finance
 </li>
 <li>
 Customer support automation
 </li>
 <li>
 Marketing workflows
 </li>
 <li>
 Sales and CRM automation
 </li>
 <li>
 Building
 
 RAG-powered systems
 
 to enable agents to retrieve and reason over internal data
 </li>
 <li>
 Integrating AI agents with real systems:
 </li>
 <li>
 NetSuite
 </li>
 <li>
 N8N&nbsp;
 </li>
 <li>
 CRMs
 </li>
 <li>
 Email systems
 </li>
 <li>
 Internal APIs and databases
 </li>
 <li>
 Creating
 
 hybrid systems combining rules, workflows, and LLM reasoning
 
 </li>
 <li>
 Implementing structured outputs (JSON, workflows, automation triggers)
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Build, test, and deploy
 
 AI agents end-to-end
 
 </li>
 <li>
 Design
 
 agent architectures
 
 (single-agent, multi-agent, tool-using agents)
 </li>
 <li>
 Develop and optimise
 
 RAG pipelines
 
 , including:
 </li>
 <li>
 document ingestion and chunking strategies
 </li>
 <li>
 embedding pipelines
 </li>
 <li>
 vector search and retrieval optimisation
 </li>
 <li>
 grounding LLM outputs with internal data
 </li>
 <li>
 Implement
 
 context management, memory, and tool usage
 
 within agents
 </li>
 <li>
 Hands on experience with N8N or similar workflow automation tools
 </li>
 <li>
 Integrate agents with external APIs, databases, and SaaS platforms
 </li>
 <li>
 Build evaluation, monitoring, and logging systems for agent performance
 </li>
 <li>
 Optimise for
 
 accuracy, latency, and cost efficiency
 
 </li>
 <li>
 Work closely with product teams to translate workflows into AI-driven systems
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 <ul>
 <li>
 Strong experience in
 
 Python
 
 </li>
 <li>
 Hands-on experience with:
 </li>
 <li>
 
 LangChain
 
 </li>
 <li>
 
 CrewAI
 
 (or similar multi-agent frameworks)
 </li>
 <li>
 Proven experience building
 
 production-grade AI agents
 
 </li>
 <li>
 Strong experience with
 
 RAG systems
 
 , including:
 </li>
 <li>
 embeddings and vector search
 </li>
 <li>
 retrieval optimisation (filters, hybrid search, ranking)
 </li>
 <li>
 grounding outputs with structured and unstructured data
 </li>
 <li>
 Experience working with
 
 vector databases
 
 such as:
 </li>
 <li>
 
 Pinecone
 
 </li>
 <li>
 or alternatives (Weaviate, FAISS, etc.)
 </li>
 <li>
 Experience with LLM APIs (OpenAI, Gemini, etc.)
 </li>
 <li>
 Strong understanding of:
 </li>
 <li>
 prompt design
 </li>
 <li>
 tool/function calling
 </li>
 <li>
 memory and context handling
 </li>
 </ul>
 
 
 
 
 
 Preferred (Nice to Have):
 
 
 <ul>
 <li>
 Experience building AI agents in:
 </li>
 <li>
 Finance (AP, AR, reporting, forecasting)
 </li>
 <li>
 Marketing automation
 </li>
 <li>
 Sales / CRM workflows
 </li>
 <li>
 Customer support systems
 </li>
 <li>
 Experience with
 
 fine-tuning or adapting models
 
 , including:
 </li>
 <li>
 instruction tuning
 </li>
 <li>
 domain adaptation
 </li>
 <li>
 evaluation of fine-tuned vs prompt-based approaches
 </li>
 <li>
 Experience with advanced RAG patterns:
 </li>
 <li>
 hybrid search (vector + keyword)
 </li>
 <li>
 re-ranking models
 </li>
 <li>
 agent-driven retrieval strategies
 </li>
 <li>
 Experience with:
 </li>
 <li>
 Supabase / PostgreSQL
 </li>
 <li>
 FastAPI or similar backend frameworks
 </li>
 <li>
 event-driven or workflow-based systems
 </li>
 <li>
 Exposure to NetSuite or financial systems is a strong plus
 </li>
 </ul>
 
 
 
 
 
 What We Are Looking For:
 
 
 <ul>
 <li>
 Someone who has
 
 actually built and deployed AI agents
 
 , not just experimented
 </li>
 <li>
 Strong problem solver who can translate business workflows into AI systems
 </li>
 <li>
 Comfortable working in a
 
 fast-moving, product-driven environment
 
 </li>
 <li>
 Ability to balance:
 </li>
 <li>
 LLM reasoning
 </li>
 <li>
 deterministic rules
 </li>
 <li>
 system design
 </li>
 </ul>
 
 
 Important Note
 
 
 
 We are not looking for basic &ldquo;chat with documents&rdquo; implementations.
 
 
 We are building
 
 production-grade AI systems integrated with real business workflows and decision engines
 
 .
 
 
 
 
 
 
 Why Join Us:
 
 
 <ul>
 <li>
 Work on
 
 real-world AI deployment
 
 , not just prototypes
 </li>
 <li>
 Build systems that directly impact business operations
 </li>
 <li>
 Opportunity to shape a
 
 group-wide AI platform (FridayOS vision)
 
 </li>
 <li>
 Exposure to multiple domains: finance, marketplaces, SaaS, recruitment
 </li>
 </ul>
</div>

Senior AI Engineer – Agent Systems & RAG (LangChain / CrewAI / Python / N8N)

Join Friday Media Group Pakistan and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Friday Media Group Pakistan

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Senior AI Engineer – Agent Systems & RAG (LangChain / CrewAI / Python / N8N)